TikTok Scales Back AI Overviews After Feature Mistakes Celebrities for Blueberries

Reviewed byNidhi Govil

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TikTok has pulled back its AI Overviews feature after it generated absurdly inaccurate video summaries, including describing celebrity Charli D'Amelio as a collection of blueberries. The experimental tool, which was meant to summarize video content, will now only identify products shown in videos after widespread user backlash and mockery.

TikTok AI Feature Generates Bizarre Video Descriptions

TikTok has scaled back AI feature testing after its AI Overviews tool produced absurdly inaccurate video summaries that left users baffled and amused.

Source: BBC

Source: BBC

The experimental feature, rolled out to select users in the US and the Philippines, was designed to generate text summaries beneath video posts and provide additional context about content. Instead, it delivered descriptions so wildly off-mark that one video of TikTok personality Charli D'Amelio talking to the camera was identified as "a collection of various blueberries with different toppings"

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Source: CNET

Source: CNET

Inaccurate Video Summaries Spark User Backlash

The AI errors extended far beyond the blueberry incident. A video featuring singer Shakira was described as "a repetitive sequence of several distinct blue shapes appearing and moving across the screen," while a performance by ballroom dancers Reagan and Juli To was characterized as "a person repeatedly striking their head with a rubber chicken"

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. TikTok users on Reddit documented numerous examples of the TikTok AI feature malfunctioning, with some videos incorrectly described as showing "a person repeatedly striking their head with a hammer" despite containing no violence or tools

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. The bizarre nature of these generative AI hallucinations led some users to speculate whether the platform was intentionally trolling them. Creator Brett Vanderbrook noted that "the new AI Overview is so bad it feels like it has to be a joke," sharing examples including a comedy skit described as someone "demonstrating a new, clever technique for cutting through water"

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TikTok Pivots to Product Recommendations Only

Following the widespread mockery and user complaints, TikTok confirmed to Business Insider that it has revised the feature's functionality. The updated AI Overviews will now only identify products shown in videos rather than attempt comprehensive content summaries

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. This pivot to product recommendations represents a significant narrowing of the tool's original scope. TikTok stated it has identified the cause of the AI accuracy issues and inconsistencies but did not provide specific details about what went wrong

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. Users were able to report and provide feedback about AI Overviews during the testing phase, though this didn't prevent the feature from becoming a source of online ridicule.

Pattern of AI Hallucinations Across Tech Platforms

TikTok's struggles with AI Overviews mirror similar challenges faced by other tech giants. Google encountered comparable problems in 2024 when its AI Overviews feature suggested users eat one rock per day and use glue pizza to keep cheese attached

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. Apple faced criticism after an AI tool designed to summarize notifications created false headlines for BBC News and New York Times apps, prompting the company to suspend the feature

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. These incidents highlight persistent issues with hallucinations in generative AI systems, where tools fabricate information when attempting to summarize or generate content. Such errors range from humorous to potentially harmful, with false case law citations appearing in court filings and AI mistakes reportedly causing problems for some governments

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What This Means for AI Development

Despite this setback, TikTok continues investing in AI capabilities. The platform recently launched a tool that converts images to videos and another that allows users to control how much AI content appears on their For You Page

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. The company has also released moderation tools to address safety concerns around AI implementation. Tech firms continue deploying AI products to boost user engagement, though efforts often meet resistance when tools malfunction. While AI developers claim the technology has vastly improved in ability and accuracy, the TikTok incident demonstrates that fundamental challenges remain in ensuring AI systems accurately interpret and describe visual content before widespread deployment.

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